Xinyu Hu

Orcid: 0000-0001-7871-4407

Affiliations:
  • Peking University, Key Laboratory of Computational Linguistics, Beijing, China


According to our database1, Xinyu Hu authored at least 26 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models.
CoRR, August, 2025

LEDOM: An Open and Fundamental Reverse Language Model.
CoRR, July, 2025

Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text.
CoRR, June, 2025

NeUQI: Near-Optimal Uniform Quantization Parameter Initialization.
CoRR, May, 2025

CFunModel: A "Funny" Language Model Capable of Chinese Humor Generation and Processing.
CoRR, March, 2025

Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators.
CoRR, March, 2025

Aspect-Guided Multi-Level Perturbation Analysis of Large Language Models in Automated Peer Review.
CoRR, February, 2025

Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Where Do LLMs Go Wrong? Diagnosing Automated Peer Review via Aspect-Guided Multi-Level Perturbation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Towards A "Novel" Benchmark: Evaluating Literary Fiction with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval.
CoRR, 2024

Themis: Towards Flexible and Interpretable NLG Evaluation.
CoRR, 2024

LLM-based NLG Evaluation: Current Status and Challenges.
CoRR, 2024

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Error-Robust Retrieval for Chinese Spelling Check.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Are LLM-based Evaluators Confusing NLG Quality Criteria?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
RST Discourse Parsing as Text-to-Text Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Exploring Context-Aware Evaluation Metrics for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring Discourse Structure in Document-level Machine Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Chinese Spelling Check with Nearest Neighbors.
CoRR, 2022


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